|Title||Cognitive training, physical exercise and information technology: Neuroscientific challenges and first evidence from the LLM project|
|Publication Type||Journal Article|
|Year of Publication||2011|
|Authors||Bamidis, Panagiotis, Frantzidis Christos A., Kyrillidou Athina, Ladas Aristea, Grigoriadou Eirini, Billis Antonis, Konstantinidis Evdokimos, Zilidou Vicky, Mouzakidis Christos, Semertzidou A., Karagianni Maria, Vivas Ana, and Tsolaki Magda|
Recent advances in Information and Communication Technology (ICT) lead to an expansion of systems assistive to elderly's comfort, life quality, as well as, physical and mental health. Among other approaches, cognitive and physical training (CT and PT, respectively) have recently been proposed for the prevention of cognitive decline of seniors as well as alternative treatment options to patients with dementia or Mild Cognitive Impairment (MCI). However, any such approach faces three major challenges: the technological burdens to make it available to a wide span of requirements, the envisaged user acceptance and its measurements, and finally the actual effectiveness both subjectively/neuropsychologically and objectively/neuroscientifically.
In this paper, answers and evidence to the above three challenges are provided in the light of the Long Lasting Memories EC funded project (www.longlastingmemories.eu). A platform based on a web services approach integrates different components and systems promoting CT or PT thereby tackling the first challenge. User surveys are focused on measuring numerous elements which besides usual approaches confined to Usability and Satisfaction, introduces ideas associated with the affective and social integration elements of seniors life and interaction with the CT and PT systems. Finally, a battery of neuropsychological assessments (like the California Verbal Learning Test (CVLT), the Trail Making Test A and B (TMT-A, TMT-B), the Digit Span test and other) is employed to measure the effectiveness of the combined CT and PT intervention. Analysis of results from a first iteration demonstrates that seniors maintain their mental capacity, and in most cases there seems to be an improvement between the pre- and post-neuropsychological assessments. Finally, resting-state EEG (with eyes closed) recordings are examined in different energy bands (delta, theta, alpha, beta and gamma) using computations of the discrete wavelet transform (DWT) in concert with a classification system. Preliminary comparisons in the gamma and delta bands demonstrate the efficacy of the approach.
|Short Title||Neuroscience Letters|